1 R nerede kullanılır

  • Veri düzenleme
  • İstatistik analiz
  • Web sayfası hazırlama (Statik/Dinamik)
  • Sunum hazırlama
  • Programlama
  • Otomatik, periodik ve tekrarlanabilir rapor hazırlama
  • pdf, html, ppt oluşturma
  • tez yazma
  • kitap yazma
  • CV oluşturma
  • poster hazırlama
  • rapor şablonu oluşturma

2 R generation

R yıllar içinde çok fazla değişim gösterdi

https://rss.onlinelibrary.wiley.com/doi/10.1111/j.1740-9713.2018.01169.x

:scale 30%


3 R yükleme

http://www.youtube.com/watch?v=XcBLEVknqvY

What is R?


3.2 RStudio


3.2.2 RStudio


3.2.3 RStudio eklentileri

  • Discover and install useful RStudio addins

https://cran.r-project.org/web/packages/addinslist/README.html

https://rstudio.github.io/rstudioaddins/

devtools::install_github("rstudio/addinexamples", type = "source")

3.3 MacOS için

4 R zor şeyler için kolay, kolay şeyler için zor

R Syntax Comparison::CHEAT SHEET

https://www.amelia.mn/Syntax-cheatsheet.pdf



5 R paketleri

5.1 Neden paketler var




5.3 Kendi paket evrenini oluştur


5.4 R paket yükleme

install.packages("tidyverse", dependencies = TRUE)
install.packages("jmv", dependencies = TRUE)
install.packages("questionr", dependencies = TRUE)
install.packages("Rcmdr", dependencies = TRUE)
install.packages("summarytools")
# install.packages("tidyverse", dependencies = TRUE)
# install.packages("jmv", dependencies = TRUE)
# install.packages("questionr", dependencies = TRUE)
# install.packages("Rcmdr", dependencies = TRUE)
# install.packages("summarytools")

5.5 Paket çağırma

# require(tidyverse)  
# require(jmv)  
# require(questionr)  
# library(summarytools)  
# library(gganimate)  

6 R için yardım bulma

# ?mean
# ??efetch
# help(merge)
# example(merge)

  • Vignette

:scale 80%


https://stackoverflow.com/

  • Google uygun anahtar kelime



  • Google’da ararken [R] yazmak da işe yarayabiliyor.

  • searcher package 📦


http://cran.r-project.org/doc/contrib/Baggott-refcard-v2.pdf

https://www.rstudio.com/resources/cheatsheets/

  • Awesome R

https://github.com/qinwf/awesome-R#readme

https://awesome-r.com/

  • Twitter

https://twitter.com/hashtag/rstats?src=hash


  • Use Reproducible Examples When Asking

8 RStudio ile veri yükleme

https://support.rstudio.com/hc/en-us/articles/218611977-Importing-Data-with-RStudio


8.1 Excel

8.2 SPSS

8.3 CSV


9 Veriyi görüntüleme


10 Veriyi görüntüleme

# library(nycflights13)
# summary(flights)
View(data)
data
head
tail
glimpse
str
skimr::skim()

11 Veriyi değiştirme

11.1 Veriyi kod ile değiştirelim

11.2 Veriyi eklentilerle değiştirme

:scale 30%


11.3 RStudio aracılığıyla recode

questionr paketi kullanılacak

:scale 30%


https://juba.github.io/questionr/articles/recoding_addins.html




12 Basit tanımlayıcı istatistikler

summary()
mean
median
min
max
sd
table()

library(readr)
irisdata <- read_csv("data/iris.csv")

jmv::descriptives(
    data = irisdata,
    vars = "Sepal.Length",
    splitBy = "Species",
    freq = TRUE,
    hist = TRUE,
    dens = TRUE,
    bar = TRUE,
    box = TRUE,
    violin = TRUE,
    dot = TRUE,
    mode = TRUE,
    sum = TRUE,
    sd = TRUE,
    variance = TRUE,
    range = TRUE,
    se = TRUE,
    skew = TRUE,
    kurt = TRUE,
    quart = TRUE,
    pcEqGr = TRUE)

# install.packages("scatr")
scatr::scat(
    data = irisdata,
    x = "Sepal.Length",
    y = "Sepal.Width",
    group = "Species",
    marg = "dens",
    line = "linear",
    se = TRUE)

12.1 summarytools

https://cran.r-project.org/web/packages/summarytools/vignettes/Introduction.html

library(summarytools)
summarytools::freq(iris$Species, style = "rmarkdown")

summarytools::freq(iris$Species, report.nas = FALSE, style = "rmarkdown", headings = FALSE)

with(tobacco, print(ctable(smoker, diseased), method = 'render'))

with(tobacco,
     print(ctable(smoker, diseased, prop = 'n', totals = FALSE),
           omit.headings = TRUE, method = "render"))

summarytools::descr(iris, style = "rmarkdown")

descr(iris,
      stats = c("mean", "sd", "min", "med", "max"),
      transpose = TRUE,
      headings = FALSE,
      style = "rmarkdown")

# view(dfSummary(iris))


# First save the results
iris_stats_by_species <- by(data = iris,
                            INDICES = iris$Species,
                            FUN = descr, stats = c("mean", "sd", "min", "med", "max"),
                            transpose = TRUE)
# Then use view(), like so:
view(iris_stats_by_species, method = "pander", style = "rmarkdown")

# view(iris_stats_by_species)


data(tobacco) # tobacco is an example dataframe included in the package
BMI_by_age <- with(tobacco,
                   by(BMI, age.gr, descr,
                      stats = c("mean", "sd", "min", "med", "max")))
view(BMI_by_age, "pander", style = "rmarkdown")

BMI_by_age <- with(tobacco,
                   by(BMI, age.gr, descr,  transpose = TRUE,
                      stats = c("mean", "sd", "min", "med", "max")))

view(BMI_by_age, "pander", style = "rmarkdown", omit.headings = TRUE)

what.is(iris)

12.2 skimr

library(skimr)
skim(df)

12.3 DataExplorer

library(DataExplorer)
DataExplorer::create_report(df)


12.5 Grafikler

# library(ggplot2)
# library(mosaic)
# mPlot(irisdata)
descr(tobacco, style = 'rmarkdown')

print(descr(tobacco), method = 'render', table.classes = 'st-small')

dfSummary(tobacco, style = 'grid', plain.ascii = FALSE)

print(dfSummary(tobacco, graph.magnif = 0.75), method = 'render')



13 Bazı arayüzler

https://sbalci.github.io/MyRCodesForDataAnalysis/R-Arayuzler.nb.html


13.1 Rcmdr

library(Rcmdr)

Rcmdr::Commander()
  • A Comparative Review of the R Commander GUI for R

http://r4stats.com/articles/software-reviews/r-commander/


15 Sonraki Konular

  • RStudio ile GitHub kullanımı
  • R Markdown ve R Notebook ile tekrarlanabilir rapor
  • Hipotez testleri

16 Geri Bildirim



17 Libraries Used

citation()
citation("tidyverse")
citation("foreign")
citation("tidylog")
citation("janitor")
citation("jmv")
citation("tangram")
citation("finalfit")
citation("summarytools")
citation("ggstatplot")
citation("readxl")
sessionInfo()

18 İletişim

Completed on 2019-09-24 22:55:33.

Serdar Balci, MD, Pathologist

https://rpubs.com/sbalci/CV
https://sbalci.github.io/
https://github.com/sbalci
https://twitter.com/serdarbalci


CommitMessage <- paste("updated on ", Sys.time(), sep = "")

wd <- getwd()

gitCommand <- paste("cd ", wd, " \n git add . \n git commit --message '", CommitMessage, "' \n git push origin master \n", sep = "")

system(command = gitCommand, intern = TRUE
)

  1. Bu bir derlemedir, mümkün mertebe alıntılara referans vermeye çalıştım.↩︎

---
title: R ile analize başlarken^[Bu bir derlemedir, mümkün mertebe alıntılara referans
  vermeye çalıştım.]
author: "Derleyen [Serdar Balcı, MD, Pathologist](https://sbalci.github.io/)"
institute: "[serdarbalci.com](https://www.serdarbalci.com)"
date: "`r format(Sys.Date())`"
output:
  xaringan::moon_reader:
    lib_dir: libs
    nature:
      beforeInit: ["macros.js", "https://platform.twitter.com/widgets.js"]
      highlightStyle: github
      highlightLines: true
      countIncrementalSlides: false
    self_contained: true
  revealjs::revealjs_presentation:
  html_notebook:
    fig_caption: yes
    highlight: kate
    number_sections: yes
    theme: flatly
    toc: yes
    toc_depth: 5
    toc_float: yes
  pdf_document:
    toc: yes
    toc_depth: '5'
  html_document:
    fig_caption: yes
    keep_md: yes
    toc: yes
    toc_depth: 5
    toc_float: yes
editor_options: 
  chunk_output_type: inline
---

<!-- Open all links in new tab-->  
<base target="_blank"/>   

<!-- Go to www.addthis.com/dashboard to customize your tools --> <script type="text/javascript" src="//s7.addthis.com/js/300/addthis_widget.js#pubid=ra-5bc36900a405090b">  
</script>

<!-- [![](http://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1530113077/Image_2_vfy48b.png)](https://www.datacamp.com/community/tutorials/data-science-pitfalls) -->


```{r setup global chunk settings, include=FALSE}
knitr::opts_chunk$set(
	message = FALSE,
	warning = FALSE,
	comment = NA,
	include = FALSE,
	tidy = TRUE
)
```


# R nerede kullanılır

- Veri düzenleme
- İstatistik analiz
- Web sayfası hazırlama (Statik/Dinamik)
- Sunum hazırlama
- Programlama
- Otomatik, periodik ve tekrarlanabilir rapor hazırlama
- pdf, html, ppt oluşturma
- tez yazma
- kitap yazma
- CV oluşturma
- poster hazırlama
- rapor şablonu oluşturma
- ...

---

# R generation

R yıllar içinde çok fazla değişim gösterdi

https://rss.onlinelibrary.wiley.com/doi/10.1111/j.1740-9713.2018.01169.x

![](https://wol-prod-cdn.literatumonline.com/pb-assets/journal-banners/17409713-1501384756037.jpg)

![:scale 30%](https://wol-prod-cdn.literatumonline.com/cms/attachment/1a49c07b-b56f-4327-8e92-7827ef51a7bb/sign1169-gra-0002-m.jpg)


```{r eval=FALSE, include=FALSE}
knitr::include_graphics(path = "https://wol-prod-cdn.literatumonline.com/cms/attachment/1a49c07b-b56f-4327-8e92-7827ef51a7bb/sign1169-gra-0002-m.jpg")
```


---

# R yükleme

http://www.youtube.com/watch?v=XcBLEVknqvY


![What is R?](http://img.youtube.com/vi/XcBLEVknqvY/0.jpg)


---


## R-project

https://cran.r-project.org/

---

## RStudio


![](https://ismayc.github.io/talks/ness-infer/img/engine.png)

---

### RStudio

[https://www.rstudio.com/](https://www.rstudio.com/)

[https://www.rstudio.com/products/rstudio/download/](https://www.rstudio.com/products/rstudio/download/)

[https://moderndive.com/2-getting-started.html](https://moderndive.com/2-getting-started.html)

---

### RStudio


[![](http://www-users.york.ac.uk/~er13/RStudio%20Anatomy.svg)](https://buzzrbeeline.blog/2018/07/04/rstudio-anatomy/)



---

### RStudio eklentileri

- Discover and install useful RStudio addins

https://cran.r-project.org/web/packages/addinslist/README.html

https://rstudio.github.io/rstudioaddins/


```
devtools::install_github("rstudio/addinexamples", type = "source")
```


---

## MacOS için

### X11

https://www.xquartz.org/

### Java OS

https://support.apple.com/kb/dl1572

---


# R zor şeyler için kolay, kolay şeyler için zor


- [R makes easy things hard, and hard things easy](http://r4stats.com/articles/why-r-is-hard-to-learn/)


- Aynı şeyi çok fazla şekilde yapmak mümkün

R Syntax Comparison::CHEAT SHEET

https://www.amelia.mn/Syntax-cheatsheet.pdf


---


<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr"><a href="https://twitter.com/hashtag/RStats?src=hash&amp;ref_src=twsrc%5Etfw">#RStats</a> — There are always several ways to do the same thing... nice example on with the identity matrix by <a href="https://twitter.com/TeaStats?ref_src=twsrc%5Etfw">@TeaStats</a> <a href="https://t.co/O3GXdPiM32">https://t.co/O3GXdPiM32</a></p>&mdash; Colin Fay 🤘 (@_ColinFay) <a href="https://twitter.com/_ColinFay/status/1112746633467518977?ref_src=twsrc%5Etfw">April 1, 2019</a></blockquote>
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

---


# R paketleri


## Neden paketler var

[![](https://ismayc.github.io/talks/ness-infer/img/appstore.png)](https://ismayc.github.io/talks/ness-infer/slide_deck.html#7)

---

<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script><blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">I love the <a href="https://twitter.com/hashtag/rstats?src=hash&amp;ref_src=twsrc%5Etfw">#rstats</a> community.<br>Someone is like, &quot;oh hey peeps, I saw a big need for this mundane but difficult task that I infrequently do, so I created a package that will literally scrape the last bits of peanut butter out of the jar for you. It&#39;s called pbplyr.&quot;<br>What a tribe.</p>&mdash; Frank Elavsky ᴰᵃᵗᵃ ᵂᶦᶻᵃʳᵈ (@Frankly_Data) <a href="https://twitter.com/Frankly_Data/status/1014189095294291968?ref_src=twsrc%5Etfw">July 3, 2018</a></blockquote>

<!-- --- -->

<!-- https://blog.mitchelloharawild.com/blog/user-2018-feature-wall/ -->

---

![](https://blog.mitchelloharawild.com/blog/2018-07-11-user-2018-feature-wall_files/final.jpg)

---

## Paketleri nereden bulabiliriz

- Available CRAN Packages By Name  
https://cran.r-project.org/web/packages/available_packages_by_name.html

- CRAN Task Views  
https://cran.r-project.org/web/views/

- Bioconductor  
https://www.bioconductor.org

- RecommendR  
http://recommendr.info/

- pkgsearch  
CRAN package search  
https://github.com/metacran/pkgsearch

- CRANsearcher  
https://github.com/RhoInc/CRANsearcher  

- Awesome R  
https://awesome-r.com/  

---

## Kendi paket evrenini oluştur

- pkgverse: Build a Meta-Package Universe  
https://cran.r-project.org/web/packages/pkgverse/index.html


---

## R paket yükleme

```
install.packages("tidyverse", dependencies = TRUE)
install.packages("jmv", dependencies = TRUE)
install.packages("questionr", dependencies = TRUE)
install.packages("Rcmdr", dependencies = TRUE)
install.packages("summarytools")
```

```{r paket yükleme}
# install.packages("tidyverse", dependencies = TRUE)
# install.packages("jmv", dependencies = TRUE)
# install.packages("questionr", dependencies = TRUE)
# install.packages("Rcmdr", dependencies = TRUE)
# install.packages("summarytools")
```

---

## Paket çağırma

```{r paket cagirma, error=FALSE, message = FALSE, warning = FALSE, eval = TRUE, include = TRUE}
# require(tidyverse)  
# require(jmv)  
# require(questionr)  
# library(summarytools)  
# library(gganimate)  
```



---

# R için yardım bulma


```{r yardım, echo=TRUE}
# ?mean
# ??efetch
# help(merge)
# example(merge)
```

---

- Vignette

![:scale 80%](figures/vignette.png)

---

- RDocumentation
https://www.rdocumentation.org

- R Package Documentation
https://rdrr.io/

- GitHub

- Stackoverflow

https://stackoverflow.com/

- Google uygun anahtar kelime

---

<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script><blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">How I use <a href="https://twitter.com/hashtag/rstats?src=hash&amp;ref_src=twsrc%5Etfw">#rstats</a> <br>h/t <a href="https://twitter.com/ThePracticalDev?ref_src=twsrc%5Etfw">@ThePracticalDev</a> <a href="https://t.co/erRnTG0Ujr">pic.twitter.com/erRnTG0Ujr</a></p>&mdash; Emily Bovee (@ebovee09) <a href="https://twitter.com/ebovee09/status/1028037594947485696?ref_src=twsrc%5Etfw">August 10, 2018</a></blockquote>


---


![](figures/Google-package-name.png)

---



![](figures/Google-start-with-R.png)


- Google'da ararken `[R]` yazmak da işe yarayabiliyor.


---

- searcher package 📦


[![](https://camo.githubusercontent.com/12f0e2d18047f1b5f36fbeb09a1d0e548236883f/68747470733a2f2f692e696d6775722e636f6d2f5a7132726736472e676966)](https://github.com/coatless/searcher)



---

- Awesome Cheatsheet
https://github.com/detailyang/awesome-cheatsheet

http://cran.r-project.org/doc/contrib/Baggott-refcard-v2.pdf

https://www.rstudio.com/resources/cheatsheets/


- Awesome R

https://github.com/qinwf/awesome-R#readme

https://awesome-r.com/


- Twitter

https://twitter.com/hashtag/rstats?src=hash

---


- Use Reproducible Examples When Asking  

<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Got a question to ask on <a href="https://twitter.com/SlackHQ?ref_src=twsrc%5Etfw">@SlackHQ</a> or post on <a href="https://twitter.com/github?ref_src=twsrc%5Etfw">@github</a>? No time to read the long post on how to use reprex? Here is a 20-second gif for you to format your R codes nicely and for others to reproduce your problem. (An example from a talk given by <a href="https://twitter.com/JennyBryan?ref_src=twsrc%5Etfw">@JennyBryan</a>) <a href="https://twitter.com/hashtag/rstat?src=hash&amp;ref_src=twsrc%5Etfw">#rstat</a> <a href="https://t.co/gpuGXpFIsX">pic.twitter.com/gpuGXpFIsX</a></p>&mdash; ZhiYang (@zhiiiyang) <a href="https://twitter.com/zhiiiyang/status/1053006003711569920?ref_src=twsrc%5Etfw">October 18, 2018</a></blockquote><script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>


- Keeping up to date with R news  
https://masalmon.eu/2019/01/25/uptodate/  

---

# Rstudio ile proje oluşturma

https://support.rstudio.com/hc/en-us/articles/200526207-Using-Projects

![](http://www.rstudio.com/images/docs/projects_new.png)

---

# RStudio ile veri yükleme

https://support.rstudio.com/hc/en-us/articles/218611977-Importing-Data-with-RStudio

![](https://support.rstudio.com/hc/en-us/article_attachments/206277618/data-import-overview.gif)

---

## Excel

## SPSS

## CSV


---

# Veriyi görüntüleme

<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script><blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Spreadsheet users using <a href="https://twitter.com/hashtag/rstats?src=hash&amp;ref_src=twsrc%5Etfw">#rstats</a>:  where&#39;s the data?<a href="https://twitter.com/hashtag/rstats?src=hash&amp;ref_src=twsrc%5Etfw">#rstats</a> users using spreadsheets:  where&#39;s the code?</p>&mdash; Leonard Kiefer (@lenkiefer) <a href="https://twitter.com/lenkiefer/status/1015587475580956672?ref_src=twsrc%5Etfw">July 7, 2018</a></blockquote>

---

# Veriyi görüntüleme

```{r, results="markup"}
# library(nycflights13)
# summary(flights)
```



```
View(data)
```


```
data
```


```
head
```


```
tail
```


```
glimpse
```


```
str
```


```
skimr::skim()
```

---


# Veriyi değiştirme

## Veriyi kod ile değiştirelim

## Veriyi eklentilerle değiştirme

![:scale 30%](figures/change_data.png)


---


## RStudio aracılığıyla recode

*questionr* paketi kullanılacak

![:scale 30%](figures/level_recode.png)


---



https://juba.github.io/questionr/articles/recoding_addins.html


![](https://raw.githubusercontent.com/juba/questionr/master/resources/screenshots/irec_1.png)


---

![](https://raw.githubusercontent.com/juba/questionr/master/resources/screenshots/irec_2.png)


---

![](https://raw.githubusercontent.com/juba/questionr/master/resources/screenshots/irec_3.png)


---

# Basit tanımlayıcı istatistikler

```
summary()
```

```
mean
```

```
median
```

```
min
```

```
max
```

```
sd
```

```
table()
```

---


```{r descriptive, echo=TRUE, include = TRUE}
library(readr)
irisdata <- read_csv("data/iris.csv")

jmv::descriptives(
    data = irisdata,
    vars = "Sepal.Length",
    splitBy = "Species",
    freq = TRUE,
    hist = TRUE,
    dens = TRUE,
    bar = TRUE,
    box = TRUE,
    violin = TRUE,
    dot = TRUE,
    mode = TRUE,
    sum = TRUE,
    sd = TRUE,
    variance = TRUE,
    range = TRUE,
    se = TRUE,
    skew = TRUE,
    kurt = TRUE,
    quart = TRUE,
    pcEqGr = TRUE)
```

---

```{r scatter, echo=TRUE, include=TRUE}
# install.packages("scatr")
scatr::scat(
    data = irisdata,
    x = "Sepal.Length",
    y = "Sepal.Width",
    group = "Species",
    marg = "dens",
    line = "linear",
    se = TRUE)
```

---

## summarytools

https://cran.r-project.org/web/packages/summarytools/vignettes/Introduction.html

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
library(summarytools)
summarytools::freq(iris$Species, style = "rmarkdown")
```


---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
summarytools::freq(iris$Species, report.nas = FALSE, style = "rmarkdown", headings = FALSE)
```


---


```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
with(tobacco, print(ctable(smoker, diseased), method = 'render'))
```


---


```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
with(tobacco,
     print(ctable(smoker, diseased, prop = 'n', totals = FALSE),
           omit.headings = TRUE, method = "render"))
```

---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
summarytools::descr(iris, style = "rmarkdown")
```

---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
descr(iris,
      stats = c("mean", "sd", "min", "med", "max"),
      transpose = TRUE,
      headings = FALSE,
      style = "rmarkdown")
```

---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
# view(dfSummary(iris))

```


![](figures/dfsummary.png)

<!-- --- -->

<!-- ```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'} -->
<!-- dfSummary(tobacco, -->
<!--           plain.ascii = FALSE, -->
<!--           style = "grid") -->
<!-- ``` -->


---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
# First save the results
iris_stats_by_species <- by(data = iris,
                            INDICES = iris$Species,
                            FUN = descr, stats = c("mean", "sd", "min", "med", "max"),
                            transpose = TRUE)
# Then use view(), like so:
view(iris_stats_by_species, method = "pander", style = "rmarkdown")
```


---


```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
# view(iris_stats_by_species)
```

![](figures/DescriptiveStatistics.png)

---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
data(tobacco) # tobacco is an example dataframe included in the package
BMI_by_age <- with(tobacco,
                   by(BMI, age.gr, descr,
                      stats = c("mean", "sd", "min", "med", "max")))
view(BMI_by_age, "pander", style = "rmarkdown")
```

---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
BMI_by_age <- with(tobacco,
                   by(BMI, age.gr, descr,  transpose = TRUE,
                      stats = c("mean", "sd", "min", "med", "max")))

view(BMI_by_age, "pander", style = "rmarkdown", omit.headings = TRUE)
```

<!-- --- -->

<!-- ```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'} -->
<!-- tobacco_subset <- tobacco[ ,c("gender", "age.gr", "smoker")] -->
<!-- freq_tables <- lapply(tobacco_subset, freq) -->

<!-- # view(freq_tables, footnote = NA, file = 'freq-tables.html') -->
<!-- ``` -->

---

```{r, include=TRUE, comment=NA, prompt=FALSE, cache=FALSE, echo=TRUE, results='asis'}
what.is(iris)
```

<!-- --- -->

<!-- ```{r} -->
<!-- freq(tobacco$gender, style = 'rmarkdown') -->
<!-- ``` -->

<!-- --- -->

<!-- ```{r} -->
<!-- print(freq(tobacco$gender), method = 'render') -->
<!-- ``` -->

---

## skimr

```
library(skimr)
skim(df)
```

---

## DataExplorer

```
library(DataExplorer)
DataExplorer::create_report(df)
```


[![](https://static1.squarespace.com/static/58eef8846a4963e429687a4d/t/5bdfc2fb4d7a9c04ee50b7aa/1541391160702/dataExplorerGifLg.gif?format=1500w)](https://www.littlemissdata.com/blog/simple-eda)



---

## inspectdf

https://github.com/alastairrushworth/inspectdf


---

## Grafikler

```{r echo=TRUE}
# library(ggplot2)
# library(mosaic)
# mPlot(irisdata)
```

<!-- --- -->


<!-- ```{r, results="asis"} -->
<!-- ctable(tobacco$gender, tobacco$smoker, style = 'rmarkdown') -->
<!-- ``` -->

<!-- --- -->


<!-- ```{r} -->
<!-- print(ctable(tobacco$gender, tobacco$smoker), method = 'render') -->
<!-- ``` -->


<!-- --- -->

```
descr(tobacco, style = 'rmarkdown')

print(descr(tobacco), method = 'render', table.classes = 'st-small')

dfSummary(tobacco, style = 'grid', plain.ascii = FALSE)

print(dfSummary(tobacco, graph.magnif = 0.75), method = 'render')
```


---



<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Here, building up a <a href="https://twitter.com/hashtag/ggplot2?src=hash&amp;ref_src=twsrc%5Etfw">#ggplot2</a> as slowly as possible, <a href="https://twitter.com/hashtag/rstats?src=hash&amp;ref_src=twsrc%5Etfw">#rstats</a>.  Incremental adjustments.  <a href="https://twitter.com/hashtag/rstatsteachingideas?src=hash&amp;ref_src=twsrc%5Etfw">#rstatsteachingideas</a> <a href="https://t.co/nUulQl8bPh">pic.twitter.com/nUulQl8bPh</a></p>&mdash; Gina Reynolds (@EvaMaeRey) <a href="https://twitter.com/EvaMaeRey/status/1029104656763572226?ref_src=twsrc%5Etfw">August 13, 2018</a></blockquote><script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>


---


[![](https://raw.githubusercontent.com/dreamRs/esquisse/master/man/figures/esquisse.gif)](https://github.com/dreamRs/esquisse)


<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Dreaming of a fancy <a href="https://twitter.com/hashtag/Rstats?src=hash&amp;ref_src=twsrc%5Etfw">#Rstats</a> <a href="https://twitter.com/hashtag/ggplot?src=hash&amp;ref_src=twsrc%5Etfw">#ggplot</a> <a href="https://twitter.com/hashtag/dataviz?src=hash&amp;ref_src=twsrc%5Etfw">#dataviz</a> but still scared of typing <a href="https://twitter.com/hashtag/code?src=hash&amp;ref_src=twsrc%5Etfw">#code</a>? <a href="https://twitter.com/_pvictorr?ref_src=twsrc%5Etfw">@_pvictorr</a> esquisse package has you covered <a href="https://t.co/1vIDXcVAAF">https://t.co/1vIDXcVAAF</a> <a href="https://t.co/RlTkptnrNv">pic.twitter.com/RlTkptnrNv</a></p>&mdash; Radoslaw Panczak (@RPanczak) <a href="https://twitter.com/RPanczak/status/1047019588658040832?ref_src=twsrc%5Etfw">October 2, 2018</a></blockquote>
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>



<!-- ## Tablolar -->


---

# Bazı arayüzler

https://sbalci.github.io/MyRCodesForDataAnalysis/R-Arayuzler.nb.html

---


## Rcmdr

```
library(Rcmdr)

Rcmdr::Commander()

```


- A Comparative Review of the R Commander GUI for R

http://r4stats.com/articles/software-reviews/r-commander/


---

## jamovi

https://www.jamovi.org/

<!-- ![![](https://www.jamovi.org/assets/main-screenshot.png)](https://www.jamovi.org/) -->


https://blog.jamovi.org/2018/07/30/rj.html

<!-- ![![](https://blog.jamovi.org/assets/images/rj.png)](https://blog.jamovi.org/2018/07/30/rj.html) -->

---

# R nereden öğrenilir

https://sbalci.github.io/MyRCodesForDataAnalysis/WhereToLearnR.nb.html

---

# Sonraki Konular

- RStudio ile GitHub kullanımı
- R Markdown ve R Notebook ile tekrarlanabilir rapor
- Hipotez testleri



-----


# Geri Bildirim

- Geri bildirim için tıklayınız: _[Geri bildirim formu](https://goo.gl/forms/YjGZ5DHgtPlR1RnB3)_


---


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---


<!-- ``` -->
<!-- # Save Final Data -->

<!-- saved data after analysis to `Data-After-Analysis.xlsx`. -->

<!-- saveRDS(mydata, "Data-After-Analysis.rds") -->

<!-- writexl::write_xlsx(mydata, "Data-After-Analysis.xlsx") -->

<!-- file.info("Data-After-Analysis.xlsx")$ctime -->

<!-- ``` -->

<!-- --- -->


# Libraries Used

```{r}
citation()
```

```
citation("tidyverse")
citation("foreign")
citation("tidylog")
citation("janitor")
citation("jmv")
citation("tangram")
citation("finalfit")
citation("summarytools")
citation("ggstatplot")
citation("readxl")
```


```{r eval=FALSE, include=FALSE}
citation("tidyverse")
citation("foreign")
citation("tidylog")
citation("janitor")
citation("jmv")
citation("tangram")
citation("finalfit")
citation("summarytools")
citation("ggstatplot")
citation("readxl")
```


<!-- --- -->


<!-- ```{r, results='asis'} -->
<!-- report::cite_packages(session = sessionInfo()) -->
<!-- ``` -->


<!-- --- -->

```{r}
sessionInfo()
```

---


# İletişim  

Completed on `r Sys.time()`.  

Serdar Balci, MD, Pathologist  
drserdarbalci@gmail.com  

https://rpubs.com/sbalci/CV   
https://sbalci.github.io/  
https://github.com/sbalci  
https://twitter.com/serdarbalci

---

```{r}
CommitMessage <- paste("updated on ", Sys.time(), sep = "")

wd <- getwd()

gitCommand <- paste("cd ", wd, " \n git add . \n git commit --message '", CommitMessage, "' \n git push origin master \n", sep = "")

system(command = gitCommand, intern = TRUE
)

```








